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Remote Data Analytics Fall Internship Jobs in Lowell, MA

Data Scientist

Cambridge, MA ยท On-site +1

$114K - $133K/yr

Use data analytics software to develop visualizations to review, assess, and improve analytical ... internship, thesis, or one year of experience in the following: Regulatory and cGMP involves ...

Energy Engineer

Needham, MA ยท On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Oncology Data Specialist

Northborough, MA ยท Remote

$120K - $150K/yr

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Data Engineer

Boston, MA ยท Remote

$137K/yr

Discover hidden information using massive datasets and leveraging advanced data analytics and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Data Architect

Boston, MA ยท Remote

$69.25 - $89/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... remote global workforce. If you are passionate about leading large-scale cloud and data ...

Showing results 41-60

Remote Data Analytics Fall Internship information

See Lowell, MA salary details

$11

$22

$41

How much do remote data analytics fall internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote data analytics fall internship in Lowell, MA is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What is a remote data analytics fall internship?

A Remote Data Analytics Fall Internship is a temporary, typically part-time position offered during the fall semester that allows students or recent graduates to work on data analytics projects from a remote location. Interns gain hands-on experience analyzing data, creating reports, and using analytical tools while collaborating with a team virtually. This internship helps individuals build valuable skills in data analysis, communication, and problem-solving, often serving as a pathway to full-time roles in data science or analytics.

What are the key skills and qualifications needed to thrive as a remote data analytics fall intern?

To thrive as a Remote Data Analytics Fall Intern, you need strong analytical abilities, proficiency in statistics, and foundational knowledge of data analysis, typically gained through coursework in data science, mathematics, or related fields. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is common, and basic certification in analytics or programming can be beneficial. Excellent communication, time management, and problem-solving skills help interns stand out, especially in a remote environment. These skills and qualities are crucial for effectively analyzing data, collaborating virtually, and delivering actionable insights to support business decisions.

What are some common challenges interns face during a remote data analytics fall internship, and how can they overcome them?

One common challenge is staying connected and communicating effectively with team members when working remotely. Interns may also find it difficult to access data or tools due to security protocols or lack of familiarity with remote platforms. To overcome these challenges, it's important to proactively schedule regular check-ins with your supervisor, ask for clear documentation, and leverage collaborative tools like Slack or Microsoft Teams. Building strong virtual relationships and being diligent about time management can also help ensure a productive and rewarding remote internship experience.

What is the difference between Remote Data Analytics Fall Internship vs Remote Data Analyst?

AspectRemote Data Analytics Fall InternshipRemote Data Analyst
CredentialsTypically pursuing or recent graduate in data-related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship program, often part-time or project-basedFull-time or part-time professional role
Employer UsageInternship programs in tech, finance, healthcare, etc.Established companies, startups, consulting firms
Search IntentLearning, gaining experience, entry-level opportunitiesPerforming data analysis, reporting, decision support

The Remote Data Analytics Fall Internship is an entry-level, temporary position designed for students or recent graduates to gain hands-on experience. In contrast, a Remote Data Analyst is a full-time professional role requiring more experience and responsibilities. Internships focus on learning and skill development, while data analyst roles involve ongoing analysis and decision-making support.

What job categories do people searching Remote Data Analytics Fall Internship jobs in Lowell, MA look for?

The top searched job categories for Remote Data Analytics Fall Internship jobs in Lowell, MA are:

What cities near Lowell, MA are hiring for Remote Data Analytics Fall Internship jobs?

Cities near Lowell, MA with the most Remote Data Analytics Fall Internship job openings:

Infographic showing various Remote Data Analytics Fall Internship job openings in Lowell, MA as of August 2026, with employment types broken down into 18% Internship, 42% Full Time, 34% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,424 per year, or $22.3 per hour.

Senior Customer Operations Data Analyst

Mimecast

Lexington, MA โ€ข On-site, Remote

$124K - $186K/yr

Full-time

Posted 6 days ago


Key responsibilities

  • Design, build, and maintain recurring dashboards and reports for various customer support and success functions.

  • Analyze operational, customer, and financial data to identify risks, trends, and areas for improvement, providing actionable insights.

  • Partner with leadership and AI teams to define success metrics, validate data integrity, and support AI-driven initiatives.


Job description

Senior Customer Operations Data Analyst - hybrid role based in Lexington, MA

About Mimecast

The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected.

Overview

As the analytical backbone of our Customer Experience & Delivery (CxD) organization, you'll provide the insight that helps leaders across Support, Professional Services, Customer Success, and Renewals make better decisions. You'll own metrics and reporting for each function, identify risk across the customer base, and deliver timely analysis of operational performance, customer cohorts, process bottlenecks, and emerging issues.

You'll partner closely with CxD leaders to turn ambiguous business questions into clear, actionable insights. You'll also work alongside Mimecast's corporate AI team and CxD's AI initiatives to define success measures and evaluate the customer and operational impact of AI-driven tools. This highly visible senior individual contributor role is suited to someone equally comfortable building recurring dashboards and pressure-testing a hypothesis with ad hoc SQL.

This role reports to a Manager or Director within CxD Operations & Analytics and is remote or hybrid in line with Mimecast's location policy.

What You'll Do
  • Design, build, and maintain recurring dashboards and reporting for Support, Professional Services, Customer Success, and Renewals, covering metrics such as SLA and CSAT performance, ticket volume and resolution time, utilization, engagement, and renewal and retention rates
  • Analyze usage, support, engagement, and financial data to identify at-risk accounts and segments, refine risk-scoring approaches, and proactively surface emerging trends to CxD leadership
  • Deliver timely deep-dive analyses of operational performance, customer cohorts, process bottlenecks, and emerging issues, with clear findings and actionable recommendations
  • Partner directly with CxD function leaders to understand evolving data needs, define and refine KPIs, and translate ambiguous business questions into structured analyses
  • Mine operational data to identify cross-functional trends and connect insights that individual teams may not see on their own
  • Partner with Mimecast's corporate AI team and CxD AI workstreams to define success metrics, track project performance, and measure the impact of AI-driven tools on customer and operational outcomes
  • Validate the accuracy and integrity of data from systems such as Salesforce, Gainsight, Zendesk or ServiceNow, and Snowflake, resolving or escalating quality issues at the source
  • Automate recurring reporting and develop self-service analytics that enable CxD teams to answer routine questions independently
What You'll Bring
  • A bachelor's degree in Business, Data Analytics, Statistics, Economics, or a related field, or equivalent practical experience
  • Substantial experience independently delivering data analysis, business intelligence, or operations analytics in a complex environment, ideally within customer support, customer success, or professional services
  • Advanced SQL skills and experience querying and modeling large datasets in a cloud data warehouse such as Snowflake, Redshift, or BigQuery
  • Proficiency with a BI and visualization platform such as Tableau, Power BI, or Looker
  • Hands-on experience with CRM or customer success platforms such as Salesforce, Gainsight, Zendesk, or ServiceNow
  • Advanced Excel or Google Sheets skills, including pivot tables and complex formulas
  • Strong business acumen and the ability to translate data into clear, actionable recommendations for non-technical stakeholders
  • Excellent written and verbal communication skills, with confidence presenting findings directly to functional leaders
  • The judgment and autonomy to manage multiple concurrent requests and prioritize effectively in a fast-moving environment
  • Experience using Python or R for statistical analysis, forecasting, or risk and propensity modeling is advantageous
  • Familiarity with AI and machine learning concepts, including partnering with data science or AI teams to define and track success metrics, is advantageous
  • Experience in SaaS, cybersecurity, or enterprise technology, particularly building customer health scores or churn and renewal risk models, is advantageous
  • Familiarity with workflow automation and self-service BI adoption practices is advantageous

The base salary range for this position is $124,000$186,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly.

#LI-ND1

Belonging at Mimecast

Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course.

We're proud to be an Equal Opportunity and Affirmative Action Employer, and we'd encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.

We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application.

If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com.

Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.